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A common problem in access control is piggybacking. This is when a person without authorized access sneaks closely behind another with access through a door. This thesis seeks to answer whether using radar is a viable solution when attempting to detect piggybacking. Detection will be made by classifying sequences of point clouds generated by the radar, using neural networks. The thesis compares tw
